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MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
ICSE '24: Proceedings of the IEEE/ACM 46th International Conference on Software EngineeringArticle No.: 121, Pages 1–12https://doi.org/10.1145/3597503.3639181Deep neural networks (DNNs) have shown powerful performance in various applications and are increasingly being used in decisionmaking systems. However, concerns about fairness in DNNs always persist. Some efficient white-box fairness testing methods ...
